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Dynamic assessment of Energy Internet's emission reduction effect -- a case study of Yanqing, Beijing.
- Source :
-
Journal of Cleaner Production . Nov2020, Vol. 272, pN.PAG-N.PAG. 1p. - Publication Year :
- 2020
-
Abstract
- The advent of the energy Internet (EI) has dramatically changed the energy model of today's world. Despite scholars have done a lot of research on energy Internet, few articles have been written to evaluate its CO 2 emission reduction. In order to fill the vacancy, system dynamics (SD) is used to set up the dynamic assessment model of CO 2 emission reduction of regional energy Internet. To illustrate the effectiveness of the model, we take the energy Internet in Yanqing district of Beijing as an example for simulation. The results show that the total CO 2 emission reduction of this energy Internet will reach 5056.82 tons in 2019, and the emission reduction will continue to increase in the following years, the total amount of CO 2 emission reduction peaked at 13384.80 tons in 2030. We conclude: (1) The CO 2 emission reduction dynamic assessment model established in this paper has a strong versatility and can be applied to any built or planned energy Internet. (2) Energy Internet has a good long term effect in emission reduction. (3) The emission reduction of the supply side is the most obvious; the user side has the greatest potential for emission reduction, while the contribution of the transmission side to emissions reduction is the most stable. The innovation points of this paper mainly include: (1) we put forward and solve the dynamic assessment of carbon emission reduction on the energy Internet for the first time. (2) We establish a dynamic assessment model of CO 2 emission reduction in the energy Internet based on system dynamics. (3) We quantitatively analyze the emission reduction contribution of the supply side, transmission side and user side of the energy Internet. [ABSTRACT FROM AUTHOR]
- Subjects :
- *INTERNET
*SYSTEM dynamics
*CASE studies
*REDUCTION potential
*DYNAMIC models
Subjects
Details
- Language :
- English
- ISSN :
- 09596526
- Volume :
- 272
- Database :
- Academic Search Index
- Journal :
- Journal of Cleaner Production
- Publication Type :
- Academic Journal
- Accession number :
- 145442599
- Full Text :
- https://doi.org/10.1016/j.jclepro.2020.122663